DEVELOPMENT... OpenML
Run
120237

Run 120237

Task 3059 (Supervised Classification) pasture Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8279
Per class
Build CPU time
0.518
Build memory
324279360
F measure
0.8065
Per class
Kappa
0.6812
KB relative information score
8.2619
Mean absolute error
0.1212
Mean prior absolute error
0.4444
Number of instances
11
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8766
Per class
Predictive accuracy
0.8182
Prior entropy
1.585
Recall
0.8182
Per class
Relative absolute error
0.2727
Root mean prior squared error
0.4714
Root mean squared error
0.3482
Root relative squared error
0.7385
SciMark benchmark
873.8637